US Foods Expands AI Tools to Boost Delivery Efficiency

The company leverages artificial intelligence to streamline order processing and improve sales productivity across its U.S. network.

Updated on Oct. 28, 2026 in Artificial Intelligence

US Foods Expands AI Tools to Boost Delivery Efficiency

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Should companies increasingly prioritize AI automation to improve operational productivity?

Throughout 2025, US Foods integrated various artificial intelligence platforms into its operations to enhance delivery logistics and sales workflows. These tools now support service for the company's 250,000 customer locations nationwide.

Why it matters

US Foods is utilizing automated systems to drive higher sales per account and improve delivery efficiency. The deployment reflects a broader strategy to optimize operations through data-driven sales prioritization and logistics management.

The Automated Order Guide saved 32,000 seller hours in its first six months, while Visit Assistant Insights generated 700,000 sales prompts. Additionally, AI search integration on the MOXe platform delivered a 3% lift in cart conversion.

The players

US Foods

This major foodservice distributor serves 250,000 customer locations across the United States.

Dave Flitman

He serves as the CEO of US Foods and has publicly reported on the company's progress with AI sales tools.

The details

The Automated Order Guide processes prospect menus and notes to generate product proposals, while Visit Assistant Insights utilizes customer data to prioritize accounts. Further logistics improvements included a 2% gain in cases delivered per mile enabled by Descartes routing software.

In December 2024, engineers discussed onboarding time reductions at AWS re:Invent.
During 2025, Descartes routing software was fully deployed across the network.
In November 2025, the company disclosed a 3% lift in cart conversion.
In December 2025, PYMNTS Intelligence surveyed 60 CFOs regarding AI returns.
On August 6, 2026, CEO Dave Flitman reported on Visit Assistant Insights.

The Tech Race

US Foods follows the broader trend identified in the PYMNTS Intelligence survey, where 56.7% of CFOs evaluate generative AI returns through revenue per customer. This strategy mirrors the wider industry shift toward quantifying AI performance through direct financial metrics.

Customers may experience faster onboarding times, which have dropped from several hours to 20 to 30 minutes, and more tailored product recommendations. These improvements aim to simplify the procurement process for the thousands of businesses served by the company.

The takeaway

Businesses looking to implement AI should focus on measurable operational gains, such as reduced onboarding time and increased conversion rates. Achieving a full return on investment for such tools typically requires a multi-year horizon, as reflected in current industry projections.